Covid-19 interactive map (using R with shiny, leaflet and dplyr)

March 12, 2020
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The departement of Public Health of the Strasbourg University Hospital (GMRC, Prof. Meyer) and the Laboratory of Biostatistics and Medical Informatics of the Strasbourg  Medicine Faculty (Prof. Sauleau), to the extent of their means and expertise, are contributing to the fight against Covid-19 infection. Doctor Fabacher has produced an interactive map for global monitoring of the infection, accessible at :

https://thibautfabacher.shinyapps.io/covid-19/

This map, which complements the Johns Hopkins University tool (Coronavirus COVID-19 Global Cases by Johns Hopkins CSSE), focuses on the evolution of the number of cases per country and for a given period, but in terms of incidence and prevalence. It is updated daily.
The period of interest can be defined by the user and it is possible to choose  :

  • The count of new cases over a period of time or the same count in relation to the population of the country (incidence).
  • The total case count over a period of time or the same count reported to the population (prevalence).

This map is made using R with shiny, leaflet and dplyr packages.

Code available here :

https://github.com/DrFabach/Corona/blob/master/shiny.r

Reference
Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis; published online Feb 19. https://doi.org/10.1016/S1473-3099(20)30120-1.

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